Title :
Study of an optimum scheduling algorithm about buses in city intelligent transport systems
Author :
Xie, Shi-Yi ; Gao, Sheng ; Xu, Bing
Author_Institution :
Coll. of Inf. Technol., Zhanjiang Ocean Univ., China
Abstract :
Based on the genetic algorithm and artificial intelligence, a new algorithm and a new executive procedure, which aim at the conflict between time and service provided by the public transit system in a city, are presented to solve such problems as the city traffic assignment, the computation for buses running time, the minimum transfer tune in city intelligent transport system.
Keywords :
artificial intelligence; automated highways; genetic algorithms; road vehicles; scheduling; artificial intelligence; bus scheduling; city intelligent transport systems; city traffic assignment; genetic algorithm; optimum scheduling algorithm; public transit system; Artificial intelligence; Biological cells; Cities and towns; Constraint optimization; Genetic algorithms; Intelligent systems; Processor scheduling; Scheduling algorithm; Transportation; Vehicles;
Conference_Titel :
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN :
0-7803-8403-2
DOI :
10.1109/ICMLC.2004.1378507
